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Zopluoglu, Cengiz – Educational and Psychological Measurement, 2020
A mixture extension of Samejima's continuous response model for continuous measurement outcomes and its estimation through a heuristic approach based on limited-information factor analysis is introduced. Using an empirical data set, it is shown that two groups of respondents that differ both qualitatively and quantitatively in their response…
Descriptors: Item Response Theory, Measurement, Models, Heuristics
Qu, Wen; Liu, Haiyan; Zhang, Zhiyong – Grantee Submission, 2020
In social and behavioral sciences, data are typically not normally distributed, which can invalidate hypothesis testing and lead to unreliable results when being analyzed by methods developed for normal data. The existing methods of generating multivariate non-normal data typically create data according to specific univariate marginal measures…
Descriptors: Social Science Research, Multivariate Analysis, Statistical Distributions, Monte Carlo Methods
Derek Sauder – ProQuest LLC, 2020
The Rasch model is commonly used to calibrate multiple choice items. However, the sample sizes needed to estimate the Rasch model can be difficult to attain (e.g., consider a small testing company trying to pretest new items). With small sample sizes, auxiliary information besides the item responses may improve estimation of the item parameters.…
Descriptors: Item Response Theory, Sample Size, Computation, Test Length
Seyda Ince Sezer; Mehmet Diyaddin Yasar – Science Insights Education Frontiers, 2024
The purpose of this research is to identify the situation through content analysis of scale development studies conducted by Turkish researchers in the field of preschool education. Thus, the overall trend of scale development research in preschool education was established. This research is a document analysis study. The documents studied are…
Descriptors: Foreign Countries, Preschool Education, Preschool Teachers, Measures (Individuals)
Gilholm, Patricia; Mengersen, Kerrie; Thompson, Helen – Educational and Psychological Measurement, 2021
Developmental surveillance tools are used to closely monitor the early development of infants and young children. This study provides a novel implementation of a multidimensional item response model, using Bayesian hierarchical priors, to construct developmental profiles for a small sample of children (N = 115) with sparse data collected through…
Descriptors: Bayesian Statistics, Item Response Theory, Sample Size, Child Development
Baris Pekmezci, Fulya; Sengul Avsar, Asiye – International Journal of Assessment Tools in Education, 2021
There is a great deal of research about item response theory (IRT) conducted by simulations. Item and ability parameters are estimated with varying numbers of replications under different test conditions. However, it is not clear what the appropriate number of replications should be. The aim of the current study is to develop guidelines for the…
Descriptors: Item Response Theory, Computation, Accuracy, Monte Carlo Methods
Diaz, Emily; Brooks, Gordon; Johanson, George – International Journal of Assessment Tools in Education, 2021
This Monte Carlo study assessed Type I error in differential item functioning analyses using Lord's chi-square (LC), Likelihood Ratio Test (LRT), and Mantel-Haenszel (MH) procedure. Two research interests were investigated: item response theory (IRT) model specification in LC and the LRT and continuity correction in the MH procedure. This study…
Descriptors: Test Bias, Item Response Theory, Statistical Analysis, Comparative Analysis
Braun, Virginia; Clarke, Victoria; Boulton, Elicia; Davey, Louise; McEvoy, Charlotte – International Journal of Social Research Methodology, 2021
Fully "qualitative" surveys, which prioritise qualitative research values, and harness the rich potential of qualitative data, have much to offer qualitative researchers, especially given online delivery options. Yet the method remains underutilised, and there is little in the way of methodological discussion of qualitative surveys.…
Descriptors: Online Surveys, Qualitative Research, Social Science Research, Disclosure
Loewen, Shawn; Hui, Bronson – Modern Language Journal, 2021
This commentary discusses the issue of small samples in instructed second language acquisition research. We discuss the current state of affairs, and consider the disadvantages of small samples. We also explore other considerations regarding sample size, such as research ethics and ecological validity. We present a range of recommendations for…
Descriptors: Second Language Learning, Second Language Instruction, Sample Size, Language Research
Ben Smith; Stephen Morris; Harry Armitage – Education Endowment Foundation, 2021
This guidance is intended for the planning stage of trials -- in particular, trials for which the primary outcome measure being considered is attainment at GCSE (and in particular, GCSE English Language and Mathematics). However, it is generalisable to any other graded qualification or assessment used as an outcome measure, i.e. A-levels. It is…
Descriptors: Foreign Countries, National Competency Tests, Sample Size, Pilot Projects
Bueno, David Cababaro – Online Submission, 2023
The Doctor of Education (EdD) degree is vital in preparing individuals for leadership positions in educational settings. A key element of the EdD program is the faculty's proficiency in their specific fields of expertise. Assessing the faculty's mastery of subject matter is crucial for guaranteeing the quality of education and offering students a…
Descriptors: College Faculty, Pedagogical Content Knowledge, Doctoral Programs, Expertise
Tlili, Ahmed; Garzón, Juan; Salha, Soheil; Huang, Ronghuai; Xu, Lin; Burgos, Daniel; Denden, Mouna; Farrell, Orna; Farrow, Robert; Bozkurt, Aras; Amiel, Tel; McGreal, Rory; López-Serrano, Aída; Wiley, David – International Journal of Educational Technology in Higher Education, 2023
While several studies have investigated the various effects of open educational resources (OER) and open educational practices (OEP), few have focused on its connection to learning achievement. The related scientific literature is divided about the effects of OER and OEP with regards to their contribution to learning achievement. To address this…
Descriptors: Open Educational Resources, Open Education, Academic Achievement, Meta Analysis
Sevinç Kaçar – Journal of Turkish Science Education, 2023
The aim of the study was to examine postgraduate theses on epistemological beliefs in science education in Türkiye. Data collected included the publication years, researcher genders, universities, disciplines, aims, methods, sample/study groups, time allocated to the research, and data collection tools. The thematic content analysis method was…
Descriptors: Content Analysis, Epistemology, Beliefs, Science Education
Kárász, Judit T.; Széll, Krisztián; Takács, Szabolcs – Quality Assurance in Education: An International Perspective, 2023
Purpose: Based on the general formula, which depends on the length and difficulty of the test, the number of respondents and the number of ability levels, this study aims to provide a closed formula for the adaptive tests with medium difficulty (probability of solution is p = 1/2) to determine the accuracy of the parameters for each item and in…
Descriptors: Test Length, Probability, Comparative Analysis, Difficulty Level
Lucas, Carmen A.; Brewer, Neil; Young, Robyn L. – Journal of Psychoeducational Assessment, 2022
Evaluations of early screening tests for autism commonly rely on receiver operating characteristic (ROC) analysis and comparisons of area under the curve (AUC). Whether AUC differs significantly from chance or between test items is not always assessed. Two recent and independent evaluations of the Brief Autism Detection in Early Childhood (BADEC)…
Descriptors: Autism, Pervasive Developmental Disorders, Screening Tests, Evaluation Methods

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